{"id":"W4311254870","doi":"10.17190/amf/1902828","title":"AmeriFlux FLUXNET-1F CA-NS5 UCI-1981 burn site","year":2022,"lang":"en","type":"dataset","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"FluxNet; Environmental science; Biology; Ecology; Eddy covariance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009260874,0.001520765,0.001218304,0.003276754,0.0009332156,0.001491746,0.002572424,0.001326538,0.05419369],"category_scores_gemma":[0.002808572,0.0006110243,0.0008022739,0.006012597,0.0003671525,0.001085405,0.0009318907,0.00111157,0.05645816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00261128,"about_ca_system_score_gemma":0.002311449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09191582,"about_ca_topic_score_gemma":0.1254862,"domain_scores_codex":[0.9992285,0.00008586197,0.00007762414,0.0002493595,0.0002284647,0.0001301135],"domain_scores_gemma":[0.9986818,0.0001896962,0.0001619855,0.0002833807,0.0005536442,0.0001294883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006330266,0.00001923341,0.001230504,0.00033002,0.00001955068,0.00002302519,0.00002378677,0.0004301049,0.00009946424,0.0005846527,0.9953458,0.001830592],"study_design_scores_gemma":[0.0002545634,0.00001432922,0.008790795,0.0001770056,0.00001963048,0.00004317168,0.00007861222,0.0007810101,0.0003138254,0.0006504822,0.9888509,0.00002569142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002045855,0.00002358195,0.00005217872,0.00001781059,0.000008207819,0.00001022186,0.9987174,0.0002104823,0.0007556395],"genre_scores_gemma":[0.000358127,0.00001518737,0.0002038603,0.00001179143,0.000002852747,0.00005480545,0.9989086,0.00005262312,0.0003920248],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9080842,"threshold_uncertainty_score":0.1827616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007696363447130238,"score_gpt":0.2226345691624667,"score_spread":0.2149382057153365,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}